no code implementations • 7 Jun 2024 • Luca Castri, Gloria Beraldo, Sariah Mghames, Marc Hanheide, Nicola Bellotto
To bridge this gap, in our previous work we proposed ROS-Causal, a ROS-based framework designed for onboard data collection and causal discovery in human-robot spatial interactions.
1 code implementation • 26 Apr 2024 • Hariharan Arunachalam, Marc Hanheide, Sariah Mghames
Automating the segregation process is a need for every sector experiencing a high volume of materials handling, repetitive and exhaustive operations, in addition to risky exposures.
2 code implementations • 25 Feb 2024 • Luca Castri, Gloria Beraldo, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Deploying robots in human-shared spaces requires understanding interactions among nearby agents and objects.
no code implementations • 23 Oct 2023 • Luca Castri, Sariah Mghames, Nicola Bellotto
Using robots for automating tasks in environments shared with humans, such as warehouses, shopping centres, or hospitals, requires these robots to comprehend the fundamental physical interactions among nearby agents and objects.
no code implementations • 30 Jun 2023 • Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
The third approach implements a purely data-driven network for motion prediction, the output of which is post-processed to predict QTC spatial interactions.
1 code implementation • 23 Apr 2023 • Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
Reasoning on the context of human beings is crucial for many real-world applications especially for those deploying autonomous systems (e. g. robots).
no code implementations • 29 Oct 2022 • Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Exploiting robots for activities in human-shared environments, whether warehouses, shopping centres or hospitals, calls for such robots to understand the underlying physical interactions between nearby agents and objects.
no code implementations • 28 Oct 2022 • Sariah Mghames, Marc Hanheide
The majority of motion planning strategies developed over the literature for reaching an object in clutter are applied to two dimensional (2-d) space where the state space of the environment is constrained in one direction.
no code implementations • 27 Apr 2020 • Sariah Mghames, Marc Hanheide, Amir Ghalamzan E
Nonetheless, existing approaches to planning pushing movements in cluttered environments either are computationally expensive or only deal with 2-D cases and are not suitable for fruit picking, where it needs to compute 3-D pushing movements in a short time.
no code implementations • 26 Feb 2020 • Manuel Fernandez-Carmona, Sariah Mghames, Nicola Bellotto
This paper, therefore, presents a new approach for temporal modelling of long-term human activities with smart-home sensors, which is used to detect anomalous situations in a robot-assisted environment.